Department Seminar Series: Susan A. Murphy, Machine Learning Methods for Individualizing Just in Time Adaptive Interventions
Mobile devices are being increasingly used by health researchers to collect symptoms and other information and to provide interventions in real time. These "Just in Time Adaptive Interventions" specify how patient information should be used to determine whether, when and which intervention to provide. We present generalizations of methods from the field of Reinforcement Learning for optimizing just in time adaptive interventions. We discuss how that these methods are related to updated and improved stochastic approximation algorithms used in robotics, online games and online advertising.